Fat-suppressed turbo-spin-echo (TSE) imaging is very important to visualize knee pathology such as cartilage defects in clinical routine. Ultra-high-field 7T magnetic resonance imaging (MRI) provides higher signal-to-noise-ratio (SNR) and contrast-to-noise-ratio (CNR) than 3T and 1.5T MRI, enabling better visualization of fine anatomical structures and physiological effects. However, imaging at 7T has higher receive and transmit non-uniformity that may degrade its clinical value. Recently, a UNIform COmbined RecoNstruction (UNICORN) algorithm was proposed for reducing the receive non-uniformity. The purpose of this preliminary work is to quantitatively and qualitatively evaluate and optimize UNICORN performance for 7T clinical TSE with fat suppression.
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